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Epidemic Contact Tracing via Communication Traces

Traditional contact tracing relies on knowledge of the interpersonal network of physical interactions, where contagious outbreaks propagate. However, due to privacy constraints and noisy data assimilation, this network is generally difficult to reconstruct accurately. Communication traces obtained b...

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Detalles Bibliográficos
Autores principales: Farrahi, Katayoun, Emonet, Rémi, Cebrian, Manuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4006791/
https://www.ncbi.nlm.nih.gov/pubmed/24787614
http://dx.doi.org/10.1371/journal.pone.0095133
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author Farrahi, Katayoun
Emonet, Rémi
Cebrian, Manuel
author_facet Farrahi, Katayoun
Emonet, Rémi
Cebrian, Manuel
author_sort Farrahi, Katayoun
collection PubMed
description Traditional contact tracing relies on knowledge of the interpersonal network of physical interactions, where contagious outbreaks propagate. However, due to privacy constraints and noisy data assimilation, this network is generally difficult to reconstruct accurately. Communication traces obtained by mobile phones are known to be good proxies for the physical interaction network, and they may provide a valuable tool for contact tracing. Motivated by this assumption, we propose a model for contact tracing, where an infection is spreading in the physical interpersonal network, which can never be fully recovered; and contact tracing is occurring in a communication network which acts as a proxy for the first. We apply this dual model to a dataset covering 72 students over a 9 month period, for which both the physical interactions as well as the mobile communication traces are known. Our results suggest that a wide range of contact tracing strategies may significantly reduce the final size of the epidemic, by mainly affecting its peak of incidence. However, we find that for low overlap between the face-to-face and communication interaction network, contact tracing is only efficient at the beginning of the outbreak, due to rapidly increasing costs as the epidemic evolves. Overall, contact tracing via mobile phone communication traces may be a viable option to arrest contagious outbreaks.
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spelling pubmed-40067912014-05-09 Epidemic Contact Tracing via Communication Traces Farrahi, Katayoun Emonet, Rémi Cebrian, Manuel PLoS One Research Article Traditional contact tracing relies on knowledge of the interpersonal network of physical interactions, where contagious outbreaks propagate. However, due to privacy constraints and noisy data assimilation, this network is generally difficult to reconstruct accurately. Communication traces obtained by mobile phones are known to be good proxies for the physical interaction network, and they may provide a valuable tool for contact tracing. Motivated by this assumption, we propose a model for contact tracing, where an infection is spreading in the physical interpersonal network, which can never be fully recovered; and contact tracing is occurring in a communication network which acts as a proxy for the first. We apply this dual model to a dataset covering 72 students over a 9 month period, for which both the physical interactions as well as the mobile communication traces are known. Our results suggest that a wide range of contact tracing strategies may significantly reduce the final size of the epidemic, by mainly affecting its peak of incidence. However, we find that for low overlap between the face-to-face and communication interaction network, contact tracing is only efficient at the beginning of the outbreak, due to rapidly increasing costs as the epidemic evolves. Overall, contact tracing via mobile phone communication traces may be a viable option to arrest contagious outbreaks. Public Library of Science 2014-05-01 /pmc/articles/PMC4006791/ /pubmed/24787614 http://dx.doi.org/10.1371/journal.pone.0095133 Text en © 2014 Farrahi et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Farrahi, Katayoun
Emonet, Rémi
Cebrian, Manuel
Epidemic Contact Tracing via Communication Traces
title Epidemic Contact Tracing via Communication Traces
title_full Epidemic Contact Tracing via Communication Traces
title_fullStr Epidemic Contact Tracing via Communication Traces
title_full_unstemmed Epidemic Contact Tracing via Communication Traces
title_short Epidemic Contact Tracing via Communication Traces
title_sort epidemic contact tracing via communication traces
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4006791/
https://www.ncbi.nlm.nih.gov/pubmed/24787614
http://dx.doi.org/10.1371/journal.pone.0095133
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